docstr: Dimensionality of the warped space
  
  Returns
  -------
  Int
      Sum of the `transformed_size` of all dimensions in :attr:`dimensions`
docstr_tok: ["Dimensionality","of","the","warped","space","Returns","--","--","--","-","Int","Sum","of","the","`","transformed_size","`","of","all","dimensions","in",":","attr",":","`","dimensions","`"]
code: def transformed_n_dims(self) -> int:
      """Dimensionality of the warped space
  
      Returns
      -------
      Int
          Sum of the `transformed_size` of all dimensions in :attr:`dimensions`
      """
      return sum([dim.transformed_size for dim in self.dimensions])
  
imports: from hyperparameter_hunter.space.dimensions import Dimension, Real, Integer, Categorical
  from hyperparameter_hunter.utils.general_utils import short_repr
  from functools import reduce
  import numbers
  import numpy
  from sys import maxsize
  from sklearn.utils import check_random_state
  from sklearn.utils.fixes import sp_version
label_desc: Use image node_id 11 for calling the Space obj's underlying member method code with example usage: obj.transformed_n_dims() and returns: sum